International Journal of Academic Research in Business and Social Sciences

search-icon

A Review on Adapted Models in Technology Acceptance

Open access
The 21st century of education has changed the education system, particularly in teaching pedagogy. Technology's incorporation into teaching and learning has become a worldwide phenomenon. This paper aims to review some models that were adapted and extended from the technology acceptance model (TAM). This paper focuses on models tested on practising and preservice educators’ acceptance of specific technology. This study uses meta-analysis in reviewing the pattern of adapted models in technology acceptance from 2003 until 2021. Most of the studies resulted in very significant results. The results also suggested that Technology Acceptance Model is a robust model in predicting educators’ behavioural intention in using new technology. Technology Acceptance Model can also be adapted and extended to indicate user acceptance in other fields. More extensive review in the adapted model in technology acceptance could be done since there are many other technology acceptance models such as Unified Theory of Technology Acceptance and Use of Technology
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13:319-340.
Chen, R. (2010). Investigating models for preservice educators' use of technology to support student-centered learning. Computers & Education, 55, 32-42.
Fauzi, A., Wandira, R., Sepri, D., & Hafid, A. (2021). Exploring students’ acceptance of google classroom during the covid-19 pandemic by using the technology acceptance model in west sumatera universities. Electronic Journal of E-Learning, 19(4), 233–240. https://doi.org/10.34190/ejel.19.4.2348
Fearnley, M. R., & Amora, J. (2020). Learning Management System Adoption in Higher Education Using the Extended Technology Acceptance Model IAFOR Journal of Education: Technology in Education, 8(2), 89–106.
Gyamfi, S. A. (2016). Identifying Ghanaian pre-service teachers’ readiness for computer use: A Technology Acceptance Model approach. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 12(2), 105–122.
Holden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on educators’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343-367.
Hu, P. J. H., Clark, T. H., & Ma, W. W. (2003). Examining technology acceptance by school educators: a longitudinal study. Information & Management, 41(2), 227-241.
Inan, F. A., & Lowther, D. L. (2010). Factors affecting technology integration in K-12 classrooms: A path model. Education Tech Research Dev, 58, 137-154
Moses, P., Wong, S. L., Bakar, K. A., & Mahmud, R. (2013). Perceived Usefulness and Perceived Ease of Use: Antecedents of Attitude Towards Laptop Use Among Science and Mathematics Educators in Malaysia. The Asia-Pacific Education Researcher, 22(3), 293-299.
Nair, I., & Das, V. M. (2012). Using technology acceptance model to access educators’ attitude towards use of technology as teaching tool: a SEM approach. International Journal of Computer Applications, 42(2), 1-6
Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of service research, 2(4), 307-320.
Ping, L., & Liu, K. (2020). Using the Technology Acceptance Model to Analyze K-12 Students’ Behavioral Intention to Use Augmented Reality in Learning. Texas Education Review, 8(2), 37–51.
Phua, P. L., Wong, S. L., & Abu, R. (2012). Factors influencing the behavioural intention to use the internet as a teaching-learning tool in home economics. Procedia-Social and Behaviour Sciences, 59, 180-187.
Rahman, S. F. A., Yunus, M. M., Hashim, H., & Ali, S. F. M. (2021). The Common Hurdles of Flipped Learning Approach. International Journal of Academic Research in Business and Social Sciences, 11(6), 717–728. https://doi.org/10.6007/IJARBSS/v11-i6/10026
Summak, M. S., Ba?l?bel, M., & Samanc?o?lu, M. (2010). Technology readiness of primary school educators: A case study in Turkey. Procedia-Social and Behavioral Sciences, 2(2), 2671-2675.
School-Wide Adoption of Flipped Classroom: School Dynamics and Institutional Cultures.” British Journal of Educational Technology 50(3): 1241–59.
Tarhini, A., Elyas, T., Akour, M. A., & Al-Salti, Z. (2016). Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model. Higher Education Studies, 6(3), 72. https://doi.org/10.5539/hes.v6n3p72
Teo, T. (2010). A path analysis of pre-service educators’ attitudes to computer use: applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65-79.
Teo, T., & Schaik, P. V. (2012). Understanding intention to use technology by preservice educators: An empirical test of competing theoretical models. International Journal of Human-Computer Interaction, 28(3), 172-188.
Vannatta, R., & Banister, S. (2009). Validating a measure of educator technology integration. In Society for Information Technology & Educator Education International Conference, (1), 1134-1140.
Wong, K. T., Osman, R., Goh, P. S. C., Rahmat, M. K. (2013). Understanding Student Educators? Behavioural Intention to Use Technology: Technology Acceptance Model (TAM) Validation and Testing. International Journal of Instruction, 6(10), 89-104.
Wu, W., Chang, H., & Guo, C. (2008). An empirical assessment of science educators’ intentions toward technology integration. JI. Computers in Mathematics and Science Teaching, 27(4), 499-520.
In-Text Citation: (Rahman et al., 2022)
To Cite this Article: Rahman, S. F. A., Yunus, M. M., & Hashim, H. (2022). A Review on Adapted Models in Technology Acceptance. International Journal of Academic Research in Business and Social Sciences, 12(3), 670–683.